Mastering MCP Server Development: A Practical Guide to Building AI-Integrated Tool Systems with the Model Context Protocol

By Mason Leblanc

The future of AI isn't just about smarter models--it's about intelligent infrastructure. Mastering MCP Server Development is the definitive guide for engineers, developers, and architects who want to build reliable, structured, and production-ready tool servers that interface seamlessly with large language models (LLMs) like Claude and GPT. Through the lens of the Model Context Protocol (MCP), this book walks you step-by-step through the architecture, design, and deployment of schema-driven tool systems that can be invoked, reasoned about, and orchestrated by AI agents. Whether you're building internal copilots, developer assistants, or multi-modal knowledge systems, MCP offers the cleanest, most scalable way to expose your tools to AI. Inside, you'll learn how to: Design tools with robust JSON schemas for precise AI-agent interactions Build and test your own MCP server using stdio and HTTP modes Expose real-world tools--shell commands, databases, file systems, APIs--to intelligent agents Integrate LLMs like Claude and GPT for dynamic task planning and contextual response generation Implement advanced features such as tool chaining, caching, observability, and permission control Deploy to cloud platforms like Vercel, AWS, and Docker-based environments with secure configuration Whether you're creating your first tool or scaling a secure fleet of domain-specific agents, Mastering MCP Server Development equips you with the practical knowledge and best practices to lead in the era of structured AI integration. Get your copy of this book today and start building smarter systems that empower smarter agents!

• Format: Paperback
• Language: English
• ISBN: B0F5Q637W2
• ISBN13: 9798280670938
• Release Date: April 2025
• Publisher: Independently published
• Length: 216 Pages
• Dimensions: 9.0" x 0.5" x 6.0"